Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions

Published 2015 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
Authors
Keywords
QSAR, Quasi-SMILES, Quasi-QSAR, Nano-QSAR, Monte Carlo method, Cytotoxicity, Metal oxide nanoparticle
Journal
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
Volume 112, Issue -, Pages 39-45
Publisher
Elsevier BV
Online
2014-11-05
DOI
10.1016/j.ecoenv.2014.10.003

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.